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SAL_16636 details
Primary information
SALIDSAL_16636
Biomarker name2'-Deoxyinosine
Biomarker TypeNA
Sampling MethodWhole unstimulated saliva samples were collected from patients with OSCC (n = 34) and OLP (n = 26).
Collection MethodApproximately, 3 ml unstimulated whole saliva was collected over 5-10 min, and the samples were immediately stored at -80degreeC after collection.
Analysis MethodTOF-MS
Collection SiteWhole Saliva
Disease CategoryCancer
Disease/ConditionOral Cancer
Disease SubtypeOral squamous cell carcinoma (OSCC)
Fold Change/ Concentration11.274
Up/DownregulatedUpregulated
ExosomalNA
OrganismHomo sapiens
PMID31602722
Year of Publication2020
Biomarker ID135398593
Biomarker CategoryMetabolite
SequenceC1[C@@H]([C@H](O[C@H]1N2C=NC3=C2N=CNC3=O)CO)O
Title of studyDiscrimination of oral squamous cell carcinoma from oral lichen planus by salivary metabolomics
Abstract of studyOBJECTIVE: This study was conducted to distinguish salivary metabolites in oral squamous cell carcinoma (OSCC) from those in oral lichen planus (OLP) to identify practical biomarkers for the discrimination of OSCC from OLP.SUBJECTS AND METHODS: Whole unstimulated saliva samples were collected from patients with OSCC (n = 34) and OLP (n = 26). Hydrophilic metabolites in the saliva samples were comprehensively analysed by capillary electrophoresis mass spectrometry. To evaluate the discrimination ability of a combination of multiple markers, a multiple logistic regression (MLR) model was developed to differentiate OSCC from OLP.RESULTS: Fourteen metabolites were found to be significantly different between the OSCC and OLP groups. Among them, indole-3-acetate and ethanolamine phosphate were used to develop the MLR model. The combination of these two metabolites showed a high area under the receiver operating characteristic curve (0.856, 95% confidential interval: 0.762-0.950; p < .001) for discriminating OSCC from OLP.CONCLUSIONS: We identified salivary metabolites for discerning between OSCC and OLP, which is clinically important for detecting the malignant transformation of OLP by both dentists and oral surgery specialists. Our candidate salivary metabolites show potential for non-invasive screening of OSCC versus OLP.